Gene expression variability in mammalian embryonic stem cells using single cell RNA-seq data.

ABSTRACT:

Background

Gene expression heterogeneity contributes to development as well as disease progression. Due to technological limitations, most studies to date have focused on differences in mean expression across experimental conditions, rather than differences in gene expression variance. The advent of single cell RNA sequencing has now made it feasible to study gene expression heterogeneity and to characterise genes based on their coefficient of variation.

Methods

We collected single cell gene expression profiles for 32 human and 39 mouse embryonic stem cells and studied correlation between diverse characteristics such as network connectivity and coefficient of variation (CV) across single cells. We further systematically characterised properties unique to High CV genes.

Re

SUBMITTER: Mantsoki A 

PROVIDER: S-EPMC5012374 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature